CN112019220B - Block floating point data compression method and device based on difference bias detection - Google Patents
Block floating point data compression method and device based on difference bias detection Download PDFInfo
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Abstract
The invention discloses a block floating point data compression method and device based on difference bias detection, wherein the method comprises the steps of calculating the adjustment quantity and lossless compression gain of original block floating point data; judging whether the original block floating point data has a difference offset compression gain or not according to the lossless compression gain; if yes, the adjustment quantity is used as an intra-block difference value offset value of the original block floating point data; performing offset processing on the original block floating point data according to the intra-block difference offset value to generate second block floating point data; calculating the maximum data bit width of the second block of floating point data, and then calculating the floating point data block compression coefficient according to a preset compression coefficient adjustment parameter and the maximum data bit width; and compressing the second block of floating point data according to the floating point data block compression coefficient. By implementing the embodiment of the invention, the compression performance of compressing floating point data can be improved.
Description
Technical Field
The invention relates to the technical field of data compression, in particular to a block floating point data compression method and device based on difference bias detection.
Background
The processing procedures of storing, operating, transmitting and the like of floating point data all need to consume more resources than common integer data, such as storage resources, operation resources, transmission bandwidth resources and the like, so that when people process the floating point data, many times, people want to compress the floating point data according to a certain algorithm under the condition of meeting certain precision requirements, and the compressed floating point data occupies fewer storage, operation and transmission resources.
The existing IQ data compression algorithm mainly adopts a block floating point compression algorithm, and the block floating point compression algorithm mainly outputs floating point data with specific data width and precision loss according to a set compression ratio according to the maximum bit width of floating point data in a group of floating point data blocks. The method has the advantages of larger compression precision loss and lower compression performance.
Disclosure of Invention
The embodiment of the invention provides a block floating point data compression method and device based on difference bias detection, which can improve the compression performance when floating point data is compressed.
An embodiment of the present invention provides a block floating point data compression method based on difference bias detection, including
Calculating the adjustment quantity and lossless compression gain of the floating point data of the original block;
judging whether the original block floating point data has a difference offset compression gain or not according to the lossless compression gain; if yes, the adjustment quantity is used as an intra-block difference value offset value of the original block floating point data;
performing offset processing on the original block floating point data according to the intra-block difference offset value to generate second block floating point data;
calculating the maximum data bit width of the second block of floating point data, and then calculating the floating point data block compression coefficient according to a preset compression coefficient adjustment parameter and the maximum data bit width;
and compressing the second block of floating point data according to the floating point data block compression coefficient.
Further, if the original block floating point data does not have a difference offset compression gain, the intra-block difference offset value is set to 0.
Further, the calculating the adjustment amount and the lossless compression gain of the floating point data of the original block specifically includes:
performing numerical value detection on the floating point data of the original block, and extracting the maximum absolute value and the minimum absolute value of each floating point data in the floating point data of the original block to obtain a maximum data value and a minimum data value;
taking a maximum natural number with a value of 2 being an integer power and smaller than the minimum data value as the adjustment amount;
and calculating the lossless compression gain according to the maximum data value, the minimum data value and the adjustment quantity.
Further, if the lossless compression gain is greater than 0, determining that the original block floating point number has a difference offset compression gain.
Further, the compressing the second block of floating point data according to the floating point data block compression coefficient specifically includes:
judging sign bits of each floating point data in the second block of floating point data;
if the sign bit of the floating point data is positive, compressing the bit width of the floating point data according to the floating point data block compression coefficient;
and if the sign bit of the floating point data is negative, adding one to the floating point data block compression coefficient to obtain an updated floating point block compression coefficient, and then compressing the bit width of the floating point data according to the updated floating point data block compression coefficient.
Further, after the original block floating point data is compressed, the intra-block difference offset value, the compression coefficient adjustment parameter and the floating point data block compression coefficient are written into a data block compression head.
On the basis of the embodiment of the invention, the invention correspondingly provides an embodiment of the device.
An embodiment of the present invention provides a block floating point data compression device based on difference bias detection, including
The device comprises a numerical value detection module, an intra-block difference value offset calculation module, an offset processing module, a compression coefficient calculation module and a compression processing module;
the numerical detection module is used for calculating the adjustment quantity and the lossless compression gain of the floating point data of the original block;
the intra-block difference offset value calculation module is used for judging whether the original block floating point data has a difference offset compression gain or not according to the lossless compression gain; if yes, the adjustment quantity is used as an intra-block difference value offset value of the original block floating point data;
the offset processing module is used for performing offset processing on the original block floating point data according to the intra-block difference offset value to generate second block floating point data;
the compression coefficient calculation module is used for calculating the maximum data bit width of the second block of floating point data, and then calculating the floating point data block compression coefficient according to a preset compression coefficient adjustment parameter and the maximum data bit width;
and the compression processing module is used for compressing the second block of floating point data according to the floating point data block compression coefficient.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a block floating point data compression method and device based on difference offset detection, wherein the method detects whether the block floating point data has difference offset gain before the block floating point data is compressed, if so, the calculated adjustment quantity is used as an intra-block difference offset value, and then the difference offset processing is carried out on the original block floating point data according to the intra-block difference offset value, so that the numerical relative variation range of each floating point data in the block is reduced, and further, the compression ratio is improved on the premise of the same compression precision loss ratio or the compression precision loss is reduced on the premise of the same compression ratio, thereby improving the compression performance of the floating point data.
Drawings
Fig. 1 is a flow chart of a block floating point data compression method based on difference offset detection according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a block floating point data compression device based on difference offset detection according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, an embodiment of the present invention provides a block floating point data compression method based on difference offset detection, including the steps of:
s101, calculating the adjustment quantity and lossless compression gain of the floating point data of the original block.
S102, judging whether the original block floating point data has a difference offset compression gain or not according to the lossless compression gain; if yes, the adjustment quantity is used as an intra-block difference value offset value of the original block floating point data.
And S103, carrying out offset processing on the original block floating point data according to the intra-block difference offset value to generate second block floating point data.
S104, calculating the maximum data bit width of the second block floating point data, and then calculating the floating point data block compression coefficient according to the preset compression coefficient adjustment parameter and the maximum data bit width.
S105, compressing the second block of floating point data according to the floating point data block compression coefficient.
For step S101, the calculating the adjustment amount and the lossless compression gain of the floating point data of the original block specifically includes:
performing numerical value detection on the floating point data of the original block, and extracting the maximum absolute value and the minimum absolute value of each floating point data in the floating point data of the original block to obtain a maximum data value and a minimum data value;
taking a maximum natural number with a value of 2 being an integer power and smaller than the minimum data value as the adjustment amount;
and calculating the lossless compression gain according to the maximum data value, the minimum data value and the adjustment quantity.
Specifically, in this step, the numerical range of the original block floating point data is first detected, and the numerical value with the largest absolute value in the original block floating point data is extracted as the maximum data value abs (fdata) max The value with the smallest absolute value in the floating point data of the original block is taken as the smallest data value abs (fdata) min . Assume that there are 5 floating point data in the original block floating point data, which are respectively: 1025.00, +1027.17, +1032.00, -1026.22, +1028.03, thenThe maximum data value is 1032.00 and the minimum data value is 1025.00;
then, the adjustment amount offset_delta is calculated, and since the minimum data value is 1025.00, the adjustment amount is the maximum natural number which is less than 1025.00 and is the integer power of 2, namely 1024; the adjustment amount offset_delta is 1024; the adjustment amount is set in such a way that a secondary lossless compression gain can be generated when the intra-block difference offset value is extracted.
The lossless compression gain CG is then calculated according to the following formula:
CG＝log 2 (abs(fdata) max )-log 2 (abs(fdata) max -offset_delta)
illustratively floating point data according to the above enumeration, then the original block floating point data has lossless compression gain at this time:
CG＝log 2 (1032)-log 2 (1032-1024)＝10
for step S102, in a preferred embodiment, if the lossless compression gain is greater than 0, it is determined that the original block floating point data has a difference offset compression gain.
And if the original block floating point data does not have the difference offset compression gain, setting the intra-block difference offset value to 0.
The explanation is also given with an example of step S101: in step S101, since the lossless compression gain is 10 and greater than 0, it is indicated that the original block floating point data has a difference offset gain, and the adjustment amount is used as the intra-block difference offset value of the original block floating point data, that is, the intra-block difference offset value is 1024. In addition, if the original block floating point data does not have a difference offset compression gain, the intra-block difference offset value is set to 0. The intra-block difference offset value corresponds to a compression offset parameter in the data compression header.
And step 103, carrying out offset processing on each floating point data in the floating point data of the original block one by one according to the intra-block difference offset value obtained in the step 102, wherein when the intra-block difference offset value is 0, the lossless compression gain cannot be generated, and the floating point data are kept unchanged. And when the intra-block difference value offset value is not 0, detecting a sign bit of each floating point data, subtracting the intra-block difference value offset value from the floating point data if the sign bit is positive, and adding the intra-block difference value offset value from the floating point data if the sign bit is negative. Thus, a set of offset block floating point data, namely the second block floating point data, can be expressed by an array fdata_new [ i ], and the maximum value of i represents the number of floating point data in the block. Illustratively according to the above example, the second block of floating point data is finally obtained as: -1.00, +3.17, +8.00, -2.22, +4.03.
Specifically, in step S104, the second block of floating point data is subjected to numerical detection, and the maximum absolute value abs (fdata_offset) of the floating point data subjected to offset processing is extracted max The method comprises the steps of carrying out a first treatment on the surface of the Illustratively, taking the second block of floating point data obtained in step S103 as an example, the maximum absolute value abs (fdata_offset) max 8.00; the maximum data bit width of the second block floating point data is then calculated by the following formula:
offset_width(fdata_offset)＝floor(log 2 (abs(fdata_offset) max ))。
the maximum data bit width at this time is the maximum compressed bit width without progress loss, i.e. the theoretical data bit width required for the second block floating point data transmission.
After the maximum data bit width is calculated, a preset compression coefficient adjustment parameter compressed_data_width is combined, and a floating point data block compression coefficient common_coeffient is calculated according to the following formula: common_coefffield=ceil (log 2 (offset_width (fdata_offset))) -compressed_data_width+1
For step S105, in a preferred embodiment, the compressing the second block of floating point data according to the floating point data block compression coefficient specifically includes:
judging sign bits of each floating point data in the second block of floating point data;
if the sign bit of the floating point data is positive, compressing the bit width of the floating point data according to the floating point data block compression coefficient;
and if the sign bit of the floating point data is negative, adding one to the floating point data block compression coefficient to obtain an updated floating point data block compression coefficient, and then compressing the bit width of the floating point data according to the updated floating point data block compression coefficient.
Specifically, before compressing floating point data, sign bits of the floating point data are first determined. If the sign bit is positive, compressing the bit width of each floating point data according to the floating point data block compression coefficient in the step S104; if the sign bit is negative, the bit width of each floating point data is compressed after adding 1 to the compression coefficient of the floating point data block. The floating point data block after processing is denoted as sample fdata i,
if the floating point data is positive, compressing the floating point data:
sacle_fdata[i]＝fdata_new[i]/(2^common_coefficient)
if the floating point data is negative, compressing the floating point data:
sacle_fdata[i]＝～((～fdata_new[i]+1)/2^(common_coefficient+1))+1。
when the division is implemented in hardware, the bit is cut in a shifting mode, the bit number of the right shift is equal to common_coeffcient, when the bit is shifted to the (common_coeffcient-1) th bit, whether the current bit of the floating point data is 1 is judged, if the current bit is 1, carry processing is needed after the last 1 bit is shifted, and otherwise, direct bit cutting processing (tail cutting in a winding mode) is needed.
In a preferred implementation, the intra-block difference offset value, the compression coefficient adjustment parameter, and the floating point data block compression coefficient are written into a data block compression header after the original block floating point data is compressed.
Specifically, for the setting of the data block compression head, the compression head mainly includes three parameters: compression offset (i.e., intra-block difference offset described above), compressed data bit width (i.e., compressed_data_width described above), and data block common compression finger coefficient (i.e., floating point data block compression coefficient common_coeffient described above); this embodiment mainly has the effect of setting the above parameters in a specific format into the compression header of the data block for use in data decompression.
On the basis of the method item embodiment, the invention correspondingly provides a device item embodiment:
as shown in fig. 2, an embodiment of the present invention provides a block floating point data compression device based on difference offset detection, including: the device comprises a numerical value detection module, an intra-block difference value offset calculation module, an offset processing module, a compression coefficient calculation module and a compression processing module;
the numerical detection module is used for calculating the adjustment quantity and the lossless compression gain of the floating point data of the original block;
the intra-block difference offset value calculation module is used for judging whether the original block floating point data has a difference offset compression gain or not according to the lossless compression gain; if yes, the adjustment quantity is used as an intra-block difference value offset value of the original block floating point data;
the offset processing module is used for performing offset processing on the original block floating point data according to the intra-block difference offset value to generate second block floating point data;
the compression coefficient calculation module is used for calculating the maximum data bit width of the second block of floating point data, and then calculating the floating point data block compression coefficient according to a preset compression coefficient adjustment parameter and the maximum data bit width;
and the compression processing module is used for compressing the second block of floating point data according to the floating point data block compression coefficient.
It should be noted that the above embodiment of the apparatus corresponds to the embodiment of the method of the present invention, and it can implement the block floating point data compression method based on the difference offset detection according to any one of the above embodiments of the present invention.
By implementing the embodiment of the invention, when the difference offset compression gain exists in the floating point data of the original block, the adjustment quantity is used as the difference offset value in the block, and then the offset processing is carried out on the floating point data of the original block, so that the numerical value relative variation range of each floating point data in the block is reduced, the compression ratio is further improved on the premise of the same compression precision loss ratio, or the effect of reducing the compression precision loss is realized on the premise of the same compression ratio, so that the compression performance of the floating point data is improved.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (6)
1. The block floating point data compression method based on the difference bias detection is characterized by comprising the following steps of:
calculating the adjustment quantity and lossless compression gain of the floating point data of the original block, comprising: performing numerical value detection on the floating point data of the original block, and extracting the maximum absolute value and the minimum absolute value of each floating point data in the floating point data of the original block to obtain a maximum data value and a minimum data value; taking a maximum natural number with a value of 2 being an integer power and smaller than the minimum data value as the adjustment amount; calculating the lossless compression gain according to the maximum data value, the minimum data value and the adjustment amount;
judging whether the original block floating point data has a difference offset compression gain or not according to the lossless compression gain; if yes, the adjustment quantity is used as an intra-block difference value offset value of the original block floating point data;
performing offset processing on the original block floating point data according to the intra-block difference offset value to generate second block floating point data;
calculating the maximum data bit width of the second block of floating point data, and then calculating the floating point data block compression coefficient according to a preset compression coefficient adjustment parameter and the maximum data bit width;
and compressing the second block of floating point data according to the floating point data block compression coefficient.
2. The method for compressing block floating point data based on difference bias detection as recited in claim 1, wherein if there is no difference bias compression gain for said original block floating point data, then setting said intra-block difference bias value to 0.
3. The method for compressing block floating point data based on differential offset detection as recited in claim 1, wherein if said lossless compression gain is greater than 0, determining that said original block floating point data has differential offset compression gain.
4. The method for compressing block floating point data based on differential bias detection as recited in claim 1, wherein said compressing said second block of floating point data according to said floating point data block compression coefficient specifically comprises:
judging sign bits of each floating point data in the second block of floating point data;
if the sign bit of the floating point data is positive, compressing the bit width of the floating point data according to the floating point data block compression coefficient;
and if the sign bit of the floating point data is negative, adding one to the floating point data block compression coefficient to obtain an updated floating point data block compression coefficient, and then compressing the bit width of the floating point data according to the updated floating point data block compression coefficient.
5. The method for block floating point data compression based on differential bias detection as claimed in claim 1, further comprising: and after the original block floating point data is compressed, writing the intra-block difference offset value, the compression coefficient adjustment parameter and the floating point data block compression coefficient into a data block compression head.
6. A block floating point data compression device based on difference bias detection, comprising: the device comprises a numerical value detection module, an intra-block difference value offset calculation module, an offset processing module, a compression coefficient calculation module and a compression processing module;
the numerical value detection module is used for calculating the adjustment quantity and the lossless compression gain of the floating point data of the original block, and comprises the following components: performing numerical value detection on the floating point data of the original block, and extracting the maximum absolute value and the minimum absolute value of each floating point data in the floating point data of the original block to obtain a maximum data value and a minimum data value; taking a maximum natural number with a value of 2 being an integer power and smaller than the minimum data value as the adjustment amount; calculating the lossless compression gain according to the maximum data value, the minimum data value and the adjustment amount;
the intra-block difference offset value calculation module is used for judging whether the original block floating point data has a difference offset compression gain or not according to the lossless compression gain; if yes, the adjustment quantity is used as an intra-block difference value offset value of the original block floating point data;
the offset processing module is used for performing offset processing on the original block floating point data according to the intra-block difference offset value to generate second block floating point data;
the compression coefficient calculation module is used for calculating the maximum data bit width of the second block of floating point data, and then calculating the floating point data block compression coefficient according to a preset compression coefficient adjustment parameter and the maximum data bit width;
and the compression processing module is used for compressing the second block of floating point data according to the floating point data block compression coefficient.
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